We are looking for a highly motivated Data Engineer to join our data consulting team.

In this role, you will collaborate closely with client partners and senior stakeholders to design and implement scalable big data and analytics solutions.

Strong communication, organizational skills, and a solution-oriented mindset are critical to success in this position.

What You Can Expect :

- Work alongside a world-class team of business consultants and data engineers on high-impact projects that tackle complex business challenges using advanced data and analytics techniques.

- Accelerated career growth in a dynamic, entrepreneurial environment.

- Competitive, best-in-industry compensation and benefits.

Core Technical Skills :

- Hands-on experience with modern Big Data technologies such as Python, Spark, Hadoop, Clojure, Git, SQL, and Databricks.

- Proficiency in data visualization tools such as Tableau and Power BI.

- Experience with cloud platforms, containers, and microservices-based architectures.

- Strong background in data modeling, query optimization, and performance analysis.

- Proven ability to work with diverse data sets to support data science and analytics functions.

Preferred Qualifications :

- Familiarity with Agile methodologies like Scrum.

- Experience collaborating with product owners and development teams to translate business requirements into technical solutions.

- Relevant certifications in data engineering, cloud platforms, or analytics tools are a plus.

Key Responsibilities :

- Design and develop scalable data solutions in Azure and other cloud environments.

- Build data architectures leveraging tools such as Azure Data Factory, Databricks, Data Lake, and Synapse Analytics.

- Collaborate with stakeholders including CTOs, product owners, and operations teams to align engineering efforts with business goals.

- Perform data integration, transformation, and modeling to meet analytics requirements.

- Support Data Analysts in defining KPIs and developing reports in Power BI and Tableau.

- Conduct data mapping to define source-to-target transformations.

- Maintain technical documentation and internal knowledge repositories.

- Explore and recommend new data technologies, services, and protocols.

Personal Attributes :

- Self-starter with the ability to work independently and collaborate effectively with distributed teams.

- Strong communication skills and a proactive approach to issue escalation and resolution.

- Eagerness to learn and apply new technologies to deliver innovative data solutions